Distributed Systems

What does it take to build distributed systems that keep working when things go wrong? Engineering Distributed Systems on the BEAM goes beyond syntax to show how Erlang/OTP turns concurrency, failure and recovery into practical design tools. Build a real system from the ground up, then learn how to scale, deploy and operate it with confidence.

Microservices aren't built with boxes on a diagram—they're built with owned truth, stable contracts, idempotent messages, and controlled failure.

Build distributed systems that keep working when things go wrong. This hands-on guide shows you how to design reliable messaging architectures with Python and RabbitMQ, from core concepts to production-ready patterns. Follow real projects, write practical code and learn how to build scalable services that recover gracefully under load.

Distributed systems can feel overwhelming until you build one yourself. This book takes you from core networking and concurrency concepts to a complete production-ready platform in Go. Every chapter adds real working code so you learn not just the theory but how reliable systems are built and run at scale.

Stop overload from becoming unbounded queues, goroutines, and downstream calls. Build bounded backpressure that fails predictably.

Scaling isn't just about handling more traffic. The Scalable SaaS Architecture Handbook shows you how to design SaaS systems that remain reliable, maintainable, and efficient as they grow, using proven patterns and real-world lessons.

Another Production Field Manual: protect APIs before overload becomes an outage with rate limiting, throttling, and tenant fairness.

Learn how to stop retry storms, contain dependency failures, and make resilient microservice calls observable, bounded, and production-ready.

Prepare for Kubernetes platform engineering interviews like a Staff Engineer. Learn how controllers, informers, syncers, finalizers, API scalability and multi-tenancy behave in real systems, then put it all into practice with a hands-on workspace-syncer capstone project. A practical guide to reasoning, designing, debugging, and explaining Kubernetes control-plane systems.

The Complete Beginner to Professional Website Creation and Growth Guide takes you step by step through the entire website-building journey—from choosing a domain and hosting to designing, launching, optimizing, securing, and growing a professional website. Whether you're starting a blog, business website, portfolio, or online store, this guide gives you the knowledge and confidence to succeed.

Mastering Elasticsearch is a hands-on guide to building fast, scalable search and analytics systems. It covers core concepts, index design, Query DSL, relevance tuning, vector search, and production operations with practical examples in Python, Java, JavaScript, and REST.

You shipped the demo. The model worked. Now production is coming, and the demo is not a system. An agentic system is a distributed-systems engineering problem — the reliability lives in the shell, not the model.

Todos hemos oído hablar de la Web3, de las criptomonedas, de las cadenas de bloques (blockchains), de los NFT y de las DAO. Casi nadie sabe decir, con claridad, qué **es** en realidad cada una de esas cosas, ni si se trata del futuro de internet o de una manera elaborada de perder dinero. **El libro de la Web3** por fin le da una respuesta directa.

Master distributed systems through visual diagrams — from clock drift and CAP to Paxos, Raft, and distributed transactions, explained with clear illustrations instead of dense academic papers.

PySpark from page one. Ten chapters that take a Python user who knows pandas and turn them into someone who can write, read, and debug production PySpark, without a three-chapter detour through distributed-computing theory.